Searching Optimal Placement and Operations of Energy Storage Systems Based on Equilibrium Optimizer

Abstract

Renewable energy integration in Distribution Networks (DN) presents significant opportunities for enhancing stability, reliability, and operational efficiency. To address the challenges that arise from this integration, the use of a Battery Energy Storage System (BESS) within the DN can be very effective. This study explores the optimization of a BESS in order to reduce the system costs and improve the overall DN performance. To facilitate this optimization, the present study proposes two innovative methods: an Equilibrium Optimizer (EO) and a Newton-Raphson-based Optimizer (NRBO). These methods were applied to an IEEE 18-bus distribution network through various case scenarios. The findings demonstrate that an effective BESS integration can significantly bolster DN performance. Furthermore, the EO method was compared with alternative approaches and its effectiveness in solving optimization challenges was validated. This research underscores the potential for advancements in renewable energy integration, paving the way for more efficient and reliable DNs.